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Translation and scale invariant features for gesture recognition

A gesture and angle technology, applied in the field of gesture recognition, can solve the problems of cumbersome timing and calibration, and the inability to generate new gestures

Inactive Publication Date: 2016-04-20
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these approaches suffer from a number of disadvantages, such as requiring pre-programmed heuristics for each of the gestures and not being able to generate new gestures
In some cases, gesture recognition technology needs to be fine-tuned up front, which requires tedious timing and calibration

Method used

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  • Translation and scale invariant features for gesture recognition
  • Translation and scale invariant features for gesture recognition
  • Translation and scale invariant features for gesture recognition

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Embodiment Construction

[0022] Several illustrative embodiments will now be described with respect to the accompanying drawings which form a part hereof. While the following describes specific embodiments in which one or more aspects of the invention may be practiced, other embodiments may be utilized, and various modifications may be made without departing from the scope of the invention or the spirit of the appended claims.

[0023] refer to figure 1 , example computing device 100 may be configured to implement one or more aspects of the invention. For example, computing device 100 may be a smartphone, tablet computer, personal digital assistant, or other mobile device equipped with one or more sensors that allow computing device 100 to capture motion and / or other sensed conditions in the form of user input. device. In some embodiments, computing device 100 is not a mobile device, and may be, for example, a desktop computer, a game console, a still sensor or camera, or a system of machines couple...

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Abstract

Methods and apparatuses of the present disclosure are presented for recognizing a gesture of a gesture object in a plurality of recorded data objects, with the recorded data objects being recorded over time. In some embodiments, a method includes computing at least one set of gesture angles using the plurality of recorded data objects, wherein each of the gesture angles in the at least one set comprises an angle measurement between two positions of the gesture object, the two positions recorded in successive data objects in the plurality of recorded data objects, and recognizing the gesture based on the at least one set of gesture angles. In some embodiments, the method includes recognizing the gesture is based further on comparing the at least one set of gesture angles to a gesture model.

Description

Background technique [0001] The present invention relates generally to user devices or systems, and more particularly to gesture recognition. [0002] Technology is advancing rapidly towards contactless human-computer interaction. Key or button presses may not be required, but rather, human-computer interaction can be achieved via gestures. Many gesture recognition systems currently available are capable of recognizing a limited, preprogrammed number of gestures. These preprogrammed gestures may be recognized, for example, using a series of heuristics by a machine based on recognizing a set of preprogrammed characteristics about the gesture. However, these approaches suffer from a number of disadvantages, such as requiring pre-programmed heuristics for each of the gestures, and the inability to generate new gestures. In some cases, the gesture recognition technology needs to be fine-tuned in advance, which requires tedious timing and calibration. [0003] Accordingly, ther...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00G06F3/00
CPCG06F3/005G06F3/017G06V40/28
Inventor 阿尔皮特·米塔尔
Owner QUALCOMM INC